Triple

T15955840
Position Surface form Disambiguated ID Type / Status
Subject Salzlandkreis E386930 entity
Predicate containsMunicipality P852 FINISHED
Object Wolmirsleben
Wolmirsleben is a small municipality in the Salzlandkreis district of the German state of Saxony-Anhalt.
E1234739 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Wolmirsleben | Statement: [Salzlandkreis, containsMunicipality, Wolmirsleben]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wolmirsleben
Context triple: [Salzlandkreis, containsMunicipality, Wolmirsleben]
  • A. Roßleben
    Roßleben is a small town in the Unstrut valley of central Germany, known for its historic monastery and long-standing educational traditions.
  • B. Wermsdorf
    Wermsdorf is a municipality in Saxony, Germany, best known as the site of the large Baroque hunting lodge and former royal residence Hubertusburg Palace.
  • C. Balzhausen
    Balzhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
  • D. Marlenheim
    Marlenheim is a commune in northeastern France’s Alsace region, known as a historic wine-producing village and gateway to the area’s renowned vineyards and scenic countryside.
  • E. Völlinghausen
    Völlinghausen is a village within the municipality of Möhnesee in North Rhine-Westphalia, Germany.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wolmirsleben
Triple: [Salzlandkreis, containsMunicipality, Wolmirsleben]
Generated description
Wolmirsleben is a small municipality in the Salzlandkreis district of the German state of Saxony-Anhalt.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wolmirsleben
Target entity description: Wolmirsleben is a small municipality in the Salzlandkreis district of the German state of Saxony-Anhalt.
  • A. Roßleben
    Roßleben is a small town in the Unstrut valley of central Germany, known for its historic monastery and long-standing educational traditions.
  • B. Wermsdorf
    Wermsdorf is a municipality in Saxony, Germany, best known as the site of the large Baroque hunting lodge and former royal residence Hubertusburg Palace.
  • C. Balzhausen
    Balzhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
  • D. Marlenheim
    Marlenheim is a commune in northeastern France’s Alsace region, known as a historic wine-producing village and gateway to the area’s renowned vineyards and scenic countryside.
  • E. Völlinghausen
    Völlinghausen is a village within the municipality of Möhnesee in North Rhine-Westphalia, Germany.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156fb29848190a55cabb49cb19575 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b274fa3481908b019036cd2ae627 completed May 10, 2026, 4:29 p.m.
NEDg Description generation batch_6a00b3ba6b048190a25e17c41921c370 completed May 10, 2026, 4:35 p.m.
NED2 Entity disambiguation (via description) batch_6a00b43279688190bf012544b9e6ec41 completed May 10, 2026, 4:37 p.m.
Created at: April 10, 2026, 4:53 a.m.